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Record W2078734516 · doi:10.1109/tcsi.2014.2334831

A 0.13-<formula formulatype="inline"><tex Notation="TeX">$\mu{\rm m}$</tex></formula> CMOS Low-Power Capacitor-Less LDO Regulator Using Bulk-Modulation Technique

2014· article· en· W2078734516 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Circuits and Systems I Regular Papers · 2014
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCapacitorCMOSLow-dropout regulatorVoltageRegulatorVoltage regulatorElectrical engineeringLine regulationControl theory (sociology)Materials scienceLoad regulationPower (physics)Electronic engineeringDropout voltageComputer sciencePhysicsEngineeringChemistry

Abstract

fetched live from OpenAlex

In this paper, a bulk-modulation technique is introduced for improving the performance of low-drop-out (LDO) voltage regulators. Compared to conventional LDO voltage regulators, the proposed circuit achieves improved accuracy, stability, and output load current capability. The technique is particularly suited for low-power applications such as biomedical implants and portable devices. A proof-of-concept prototype is designed and fabricated in 0.13-μm CMOS, to illustrate the enhancement that can be achieved by applying this technique. The proposed enhanced LDO regulator which is based on conventional LDO regulators is able to delivers up to 5 mA of load current while providing a 1 V (~ 1.5% load regulation) drawing 99.0 μA from a 1.2 V supply. Measurement results confirm that as compared to conventional LDOs, the proposed circuit offers better stability as well as %75 improvement in the load current delivery and ~10× faster recovery time for no-load to and from full-load transitions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.822
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.207
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it